from lib.base import BaseLoss
import torch
from torch.nn import functional as F


class Experiment2Loss(BaseLoss):
    def __init__(self, cfg):
        super().__init__(cfg)
        self.cfg = cfg

    def forward(self, logits, labels, type):
        return torch.tensor(-1)
